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BentoML: Create an ML Powered Prediction Service in Minutes

Agenda

Streamlining Model Deployment with BentoML for Machine Learning Practitioners

After training a model, data scientists often need their team, including managers, to try it out. However, team members might use different operating systems and lack familiarity with the data scientist’s programming language. Thus, it’s crucial for data scientists to containerize their model and create an intuitive API endpoint for seamless interaction. Enter BentoML, which simplifies the process of deploying models into production. This presentation demonstrates how data practitioners can containerize and share their local machine learning models effortlessly using just a few lines of Python code.

Khuyen Tran-Data Science Dojo
Khuyen Tran

DevRel @ Prefect

Khuyen Tran is a data science intern at Ocelot Consulting. She wrote over 150 data science articles with over 100k views per month on Towards Data Science. She also wrote over 500 daily data science tips at Data Science Simplified. Her current mission is to make open-source more accessible to the data science community.

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